Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	6522
Missing cells	47
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	216.0 B

Variable types

Categorical	14
Numeric	13

Alerts

`Destination` has constant value ""	Constant
`To Area` has constant value ""	Constant
`year` has constant value ""	Constant
`Flight Date` has a high cardinality: 304 distinct values	High cardinality
`Flight Code` has a high cardinality: 86 distinct values	High cardinality
`day_convert` has a high cardinality: 304 distinct values	High cardinality
`Days` is highly overall correlated with `day_name`	High correlation
`Block` is highly overall correlated with `Sold` and 3 other fields	High correlation
`Sold` is highly overall correlated with `Block` and 3 other fields	High correlation
`Left` is highly overall correlated with `Occ.(%)` and 1 other fields	High correlation
`Occ.(%)` is highly overall correlated with `Left` and 1 other fields	High correlation
`Block1` is highly overall correlated with `Block` and 3 other fields	High correlation
`Sold1` is highly overall correlated with `Block` and 3 other fields	High correlation
`Left1` is highly overall correlated with `Occ.(%)1`	High correlation
`Occ.(%)1` is highly overall correlated with `Left1`	High correlation
`Occ.` is highly overall correlated with `Left` and 1 other fields	High correlation
`Netto` is highly overall correlated with `Origin` and 1 other fields	High correlation
`Profit` is highly overall correlated with `prıce`	High correlation
`prıce` is highly overall correlated with `Profit`	High correlation
`Origin` is highly overall correlated with `Netto` and 2 other fields	High correlation
`day_name` is highly overall correlated with `Days`	High correlation
`flight_month` is highly overall correlated with `season` and 1 other fields	High correlation
`season` is highly overall correlated with `flight_month`	High correlation
`Flight Code` is highly overall correlated with `Block` and 9 other fields	High correlation
`Airline Company` is highly overall correlated with `Flight Code`	High correlation
`dpt` is highly overall correlated with `Origin` and 1 other fields	High correlation
`dpt1` is highly overall correlated with `Flight Code`	High correlation
`Netto Currency` is highly overall correlated with `flight_month` and 1 other fields	High correlation
`Airline Company` is highly imbalanced (51.6%)	Imbalance
`Left` has 5653 (86.7%) zeros	Zeros
`Left1` has 5672 (87.0%) zeros	Zeros

Reproduction

Analysis started	2023-02-14 11:25:41.740069
Analysis finished	2023-02-14 11:25:59.308294
Duration	17.57 seconds
Software version	ydata-profiling vv4.0.0
Download configuration	config.json

Destination
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Turkey	6522

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	39132
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Turkey
2nd row	Turkey
3rd row	Turkey
4th row	Turkey
5th row	Turkey

Common Values

Value	Count	Frequency (%)
Turkey	6522	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
turkey	6522	100.0%

Most occurring characters

Value	Count	Frequency (%)
T	6522	16.7%
u	6522	16.7%
r	6522	16.7%
k	6522	16.7%
e	6522	16.7%
y	6522	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32610	83.3%
Uppercase Letter	6522	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	6522	20.0%
r	6522	20.0%
k	6522	20.0%
e	6522	20.0%
y	6522	20.0%

Uppercase Letter

Value	Count	Frequency (%)
T	6522	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39132	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	6522	16.7%
u	6522	16.7%
r	6522	16.7%
k	6522	16.7%
e	6522	16.7%
y	6522	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	6522	16.7%
u	6522	16.7%
r	6522	16.7%
k	6522	16.7%
e	6522	16.7%
y	6522	16.7%

Origin
Categorical

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Moscow	3438
S.Petersburg	1042
Kazan	577
Mineralnye Vodi	230
Chelyabinsk	196
Other values (13)	1039

Length

Max length	15
Median length	6
Mean length	7.5188592
Min length	3

Characters and Unicode

Total characters	49038
Distinct characters	39
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Samara
2nd row	Samara
3rd row	Samara
4th row	Samara
5th row	Samara

Common Values

Value	Count	Frequency (%)
Moscow	3438	52.7%
S.Petersburg	1042	16.0%
Kazan	577	8.8%
Mineralnye Vodi	230	3.5%
Chelyabinsk	196	3.0%
Samara	170	2.6%
Perm	170	2.6%
Ekaterinburg	141	2.2%
Kaliningrad	131	2.0%
Sochi	117	1.8%
Other values (8)	310	4.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
moscow	3438	50.9%
s.petersburg	1042	15.4%
kazan	577	8.5%
mineralnye	230	3.4%
vodi	230	3.4%
chelyabinsk	196	2.9%
samara	170	2.5%
perm	170	2.5%
ekaterinburg	141	2.1%
kaliningrad	131	1.9%
Other values (9)	427	6.3%

Most occurring characters

Value	Count	Frequency (%)
o	7499	15.3%
s	4805	9.8%
M	3668	7.5%
c	3555	7.2%
w	3438	7.0%
r	3179	6.5%
e	3121	6.4%
a	2598	5.3%
n	1708	3.5%
b	1430	2.9%
Other values (29)	14037	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39859	81.3%
Uppercase Letter	7850	16.0%
Other Punctuation	1097	2.2%
Space Separator	230	0.5%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7499	18.8%
s	4805	12.1%
c	3555	8.9%
w	3438	8.6%
r	3179	8.0%
e	3121	7.8%
a	2598	6.5%
n	1708	4.3%
b	1430	3.6%
g	1372	3.4%
Other values (13)	7154	17.9%

Uppercase Letter

Value	Count	Frequency (%)
M	3668	46.7%
S	1335	17.0%
P	1212	15.4%
K	708	9.0%
V	230	2.9%
C	196	2.5%
N	161	2.1%
E	141	1.8%
U	101	1.3%
T	70	0.9%
Other values (3)	28	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1097	100.0%

Space Separator

Value	Count	Frequency (%)
	230	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47709	97.3%
Common	1329	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7499	15.7%
s	4805	10.1%
M	3668	7.7%
c	3555	7.5%
w	3438	7.2%
r	3179	6.7%
e	3121	6.5%
a	2598	5.4%
n	1708	3.6%
b	1430	3.0%
Other values (26)	12708	26.6%

Common

Value	Count	Frequency (%)
.	1097	82.5%
	230	17.3%
-	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49038	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	7499	15.3%
s	4805	9.8%
M	3668	7.5%
c	3555	7.2%
w	3438	7.0%
r	3179	6.5%
e	3121	6.4%
a	2598	5.3%
n	1708	3.5%
b	1430	2.9%
Other values (29)	14037	28.6%

To Area
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Antalya	6522

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	45654
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Antalya
2nd row	Antalya
3rd row	Antalya
4th row	Antalya
5th row	Antalya

Common Values

Value	Count	Frequency (%)
Antalya	6522	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
antalya	6522	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	13044	28.6%
A	6522	14.3%
n	6522	14.3%
t	6522	14.3%
l	6522	14.3%
y	6522	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39132	85.7%
Uppercase Letter	6522	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13044	33.3%
n	6522	16.7%
t	6522	16.7%
l	6522	16.7%
y	6522	16.7%

Uppercase Letter

Value	Count	Frequency (%)
A	6522	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45654	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13044	28.6%
A	6522	14.3%
n	6522	14.3%
t	6522	14.3%
l	6522	14.3%
y	6522	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45654	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13044	28.6%
A	6522	14.3%
n	6522	14.3%
t	6522	14.3%
l	6522	14.3%
y	6522	14.3%

Flight Date
Categorical

Distinct	304
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

30.09.2022	38
15.09.2022	38
22.09.2022	38
07.10.2022	38
06.10.2022	38
Other values (299)	6332

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	65220
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	0.5%

Sample

1st row	07.06.2022
2nd row	11.06.2022
3rd row	14.06.2022
4th row	18.06.2022
5th row	21.06.2022

Common Values

Value	Count	Frequency (%)
30.09.2022	38	0.6%
15.09.2022	38	0.6%
22.09.2022	38	0.6%
07.10.2022	38	0.6%
06.10.2022	38	0.6%
13.10.2022	38	0.6%
19.09.2022	38	0.6%
18.09.2022	38	0.6%
25.09.2022	38	0.6%
26.09.2022	38	0.6%
Other values (294)	6142	94.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
30.09.2022	38	0.6%
19.09.2022	38	0.6%
29.09.2022	38	0.6%
26.09.2022	38	0.6%
25.09.2022	38	0.6%
18.09.2022	38	0.6%
15.09.2022	38	0.6%
13.10.2022	38	0.6%
06.10.2022	38	0.6%
07.10.2022	38	0.6%
Other values (294)	6142	94.2%

Most occurring characters

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
.	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	52176	80.0%
Other Punctuation	13044	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	22495	43.1%
0	15183	29.1%
1	4699	9.0%
9	1754	3.4%
8	1747	3.3%
7	1725	3.3%
6	1588	3.0%
5	1273	2.4%
3	991	1.9%
4	721	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	13044	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	65220	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
.	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
.	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

day_name
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Sunday	964
Saturday	949
Thursday	948
Monday	925
Friday	922
Other values (2)	1814

Length

Max length	9
Median length	8
Mean length	7.1392211
Min length	6

Characters and Unicode

Total characters	46562
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tuesday
2nd row	Saturday
3rd row	Tuesday
4th row	Saturday
5th row	Tuesday

Common Values

Value	Count	Frequency (%)
Sunday	964	14.8%
Saturday	949	14.6%
Thursday	948	14.5%
Monday	925	14.2%
Friday	922	14.1%
Wednesday	911	14.0%
Tuesday	903	13.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sunday	964	14.8%
saturday	949	14.6%
thursday	948	14.5%
monday	925	14.2%
friday	922	14.1%
wednesday	911	14.0%
tuesday	903	13.8%

Most occurring characters

Value	Count	Frequency (%)
a	7471	16.0%
d	7433	16.0%
y	6522	14.0%
u	3764	8.1%
r	2819	6.1%
n	2800	6.0%
s	2762	5.9%
e	2725	5.9%
S	1913	4.1%
T	1851	4.0%
Other values (7)	6502	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40040	86.0%
Uppercase Letter	6522	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7471	18.7%
d	7433	18.6%
y	6522	16.3%
u	3764	9.4%
r	2819	7.0%
n	2800	7.0%
s	2762	6.9%
e	2725	6.8%
t	949	2.4%
h	948	2.4%
Other values (2)	1847	4.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1913	29.3%
T	1851	28.4%
M	925	14.2%
F	922	14.1%
W	911	14.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46562	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7471	16.0%
d	7433	16.0%
y	6522	14.0%
u	3764	8.1%
r	2819	6.1%
n	2800	6.0%
s	2762	5.9%
e	2725	5.9%
S	1913	4.1%
T	1851	4.0%
Other values (7)	6502	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46562	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7471	16.0%
d	7433	16.0%
y	6522	14.0%
u	3764	8.1%
r	2819	6.1%
n	2800	6.0%
s	2762	5.9%
e	2725	5.9%
S	1913	4.1%
T	1851	4.0%
Other values (7)	6502	14.0%

flight_month
Categorical

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

August	1105
September	1102
July	1089
October	1067
June	955
Other values (7)	1204

Length

Max length	9
Median length	7
Mean length	5.8790248
Min length	3

Characters and Unicode

Total characters	38343
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	June
2nd row	June
3rd row	June
4th row	June
5th row	June

Common Values

Value	Count	Frequency (%)
August	1105	16.9%
September	1102	16.9%
July	1089	16.7%
October	1067	16.4%
June	955	14.6%
May	637	9.8%
November	296	4.5%
December	134	2.1%
April	86	1.3%
January	33	0.5%
Other values (2)	18	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
august	1105	16.9%
september	1102	16.9%
july	1089	16.7%
october	1067	16.4%
june	955	14.6%
may	637	9.8%
november	296	4.5%
december	134	2.1%
april	86	1.3%
january	33	0.5%
Other values (2)	18	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	6338	16.5%
u	4303	11.2%
t	3274	8.5%
r	2752	7.2%
b	2615	6.8%
J	2077	5.4%
y	1775	4.6%
m	1532	4.0%
o	1363	3.6%
c	1203	3.1%
Other values (16)	11111	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31821	83.0%
Uppercase Letter	6522	17.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6338	19.9%
u	4303	13.5%
t	3274	10.3%
r	2752	8.6%
b	2615	8.2%
y	1775	5.6%
m	1532	4.8%
o	1363	4.3%
c	1203	3.8%
p	1188	3.7%
Other values (8)	5478	17.2%

Uppercase Letter

Value	Count	Frequency (%)
J	2077	31.8%
A	1191	18.3%
S	1102	16.9%
O	1067	16.4%
M	639	9.8%
N	296	4.5%
D	134	2.1%
F	16	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38343	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6338	16.5%
u	4303	11.2%
t	3274	8.5%
r	2752	7.2%
b	2615	6.8%
J	2077	5.4%
y	1775	4.6%
m	1532	4.0%
o	1363	3.6%
c	1203	3.1%
Other values (16)	11111	29.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38343	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6338	16.5%
u	4303	11.2%
t	3274	8.5%
r	2752	7.2%
b	2615	6.8%
J	2077	5.4%
y	1775	4.6%
m	1532	4.0%
o	1363	3.6%
c	1203	3.1%
Other values (16)	11111	29.0%

season
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Summer	3149
Fall	2465
Spring	725
Winter	183

Length

Max length	6
Median length	6
Mean length	5.2440969
Min length	4

Characters and Unicode

Total characters	34202
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Summer
2nd row	Summer
3rd row	Summer
4th row	Summer
5th row	Summer

Common Values

Value	Count	Frequency (%)
Summer	3149	48.3%
Fall	2465	37.8%
Spring	725	11.1%
Winter	183	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
summer	3149	48.3%
fall	2465	37.8%
spring	725	11.1%
winter	183	2.8%

Most occurring characters

Value	Count	Frequency (%)
m	6298	18.4%
l	4930	14.4%
r	4057	11.9%
S	3874	11.3%
e	3332	9.7%
u	3149	9.2%
F	2465	7.2%
a	2465	7.2%
i	908	2.7%
n	908	2.7%
Other values (4)	1816	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27680	80.9%
Uppercase Letter	6522	19.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	6298	22.8%
l	4930	17.8%
r	4057	14.7%
e	3332	12.0%
u	3149	11.4%
a	2465	8.9%
i	908	3.3%
n	908	3.3%
p	725	2.6%
g	725	2.6%

Uppercase Letter

Value	Count	Frequency (%)
S	3874	59.4%
F	2465	37.8%
W	183	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	34202	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	6298	18.4%
l	4930	14.4%
r	4057	11.9%
S	3874	11.3%
e	3332	9.7%
u	3149	9.2%
F	2465	7.2%
a	2465	7.2%
i	908	2.7%
n	908	2.7%
Other values (4)	1816	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	6298	18.4%
l	4930	14.4%
r	4057	11.9%
S	3874	11.3%
e	3332	9.7%
u	3149	9.2%
F	2465	7.2%
a	2465	7.2%
i	908	2.7%
n	908	2.7%
Other values (4)	1816	5.3%

year
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

2022	6522

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	26088
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022
2nd row	2022
3rd row	2022
4th row	2022
5th row	2022

Common Values

Value	Count	Frequency (%)
2022	6522	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022	6522	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	19566	75.0%
0	6522	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26088	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	19566	75.0%
0	6522	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26088	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	19566	75.0%
0	6522	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	19566	75.0%
0	6522	25.0%

Flight Code
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	86
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

TK 3653	404
TK 3655	384
TK 3657	348
PC 1581	250
TK 3961	229
Other values (81)	4907

Length

Max length	8
Median length	7
Mean length	6.9862006
Min length	6

Characters and Unicode

Total characters	45564
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	WZ 4019
2nd row	WZ 4019
3rd row	WZ 4019
4th row	WZ 4019
5th row	WZ 4019

Common Values

Value	Count	Frequency (%)
TK 3653	404	6.2%
TK 3655	384	5.9%
TK 3657	348	5.3%
PC 1581	250	3.8%
TK 3961	229	3.5%
TK 3967	193	3.0%
TK 3661	185	2.8%
TK 3963	185	2.8%
TK 3147	184	2.8%
TK 212	181	2.8%
Other values (76)	3979	61.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tk	4628	35.5%
zf	940	7.2%
pc	415	3.2%
3653	404	3.1%
3655	384	2.9%
3657	348	2.7%
wz	259	2.0%
1581	250	1.9%
3961	229	1.8%
3967	193	1.5%
Other values (83)	4994	38.3%

Most occurring characters

Value	Count	Frequency (%)
3	6844	15.0%
	6522	14.3%
T	4628	10.2%
K	4628	10.2%
1	3952	8.7%
5	3548	7.8%
6	3044	6.7%
9	2640	5.8%
7	2095	4.6%
8	1213	2.7%
Other values (15)	6450	14.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	25832	56.7%
Uppercase Letter	12942	28.4%
Space Separator	6522	14.3%
Other Punctuation	268	0.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	4628	35.8%
K	4628	35.8%
Z	1199	9.3%
F	940	7.3%
C	415	3.2%
P	415	3.2%
W	259	2.0%
E	147	1.1%
O	147	1.1%
S	95	0.7%
Other values (3)	69	0.5%

Decimal Number

Value	Count	Frequency (%)
3	6844	26.5%
1	3952	15.3%
5	3548	13.7%
6	3044	11.8%
9	2640	10.2%
7	2095	8.1%
8	1213	4.7%
4	986	3.8%
2	901	3.5%
0	609	2.4%

Space Separator

Value	Count	Frequency (%)
	6522	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	268	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	32622	71.6%
Latin	12942	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	4628	35.8%
K	4628	35.8%
Z	1199	9.3%
F	940	7.3%
C	415	3.2%
P	415	3.2%
W	259	2.0%
E	147	1.1%
O	147	1.1%
S	95	0.7%
Other values (3)	69	0.5%

Common

Value	Count	Frequency (%)
3	6844	21.0%
	6522	20.0%
1	3952	12.1%
5	3548	10.9%
6	3044	9.3%
9	2640	8.1%
7	2095	6.4%
8	1213	3.7%
4	986	3.0%
2	901	2.8%
Other values (2)	877	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	6844	15.0%
	6522	14.3%
T	4628	10.2%
K	4628	10.2%
1	3952	8.7%
5	3548	7.8%
6	3044	6.7%
9	2640	5.8%
7	2095	4.6%
8	1213	2.7%
Other values (15)	6450	14.2%

Days
Real number (ℝ)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.033732

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0057645
Coefficient of variation (CV)	0.49724785
Kurtosis	-1.2520673
Mean	4.033732
Median Absolute Deviation (MAD)	2
Skewness	-0.023250659
Sum	26308
Variance	4.0230914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
7	964	14.8%
6	949	14.6%
4	948	14.5%
1	925	14.2%
5	922	14.1%
3	911	14.0%
2	903	13.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	925	14.2%
2	903	13.8%
3	911	14.0%
4	948	14.5%
5	922	14.1%
6	949	14.6%
7	964	14.8%

Value	Count	Frequency (%)
7	964	14.8%
6	949	14.6%
5	922	14.1%
4	948	14.5%
3	911	14.0%
2	903	13.8%
1	925	14.2%

Airline Company
Categorical

HIGH CORRELATION IMBALANCE

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

Turkish Airlines	4628
Azur Air	940
Pegasus Airlines	415
Red Wings Airlines	259
Pegas Fly	147
Other values (3)	133

Length

Max length	18
Median length	16
Mean length	14.640141
Min length	8

Characters and Unicode

Total characters	95483
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Red Wings Airlines
2nd row	Red Wings Airlines
3rd row	Red Wings Airlines
4th row	Red Wings Airlines
5th row	Red Wings Airlines

Common Values

Value	Count	Frequency (%)
Turkish Airlines	4628	71.0%
Azur Air	940	14.4%
Pegasus Airlines	415	6.4%
Red Wings Airlines	259	4.0%
Pegas Fly	147	2.3%
Southwind	95	1.5%
Royal Flight	31	0.5%
Nord Wind	7	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
airlines	5302	40.1%
turkish	4628	35.0%
azur	940	7.1%
air	940	7.1%
pegasus	415	3.1%
red	259	2.0%
wings	259	2.0%
pegas	147	1.1%
fly	147	1.1%
southwind	95	0.7%
Other values (4)	76	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	16564	17.3%
r	11817	12.4%
s	11166	11.7%
A	7182	7.5%
	6686	7.0%
e	6123	6.4%
u	6078	6.4%
n	5663	5.9%
l	5511	5.8%
h	4754	5.0%
Other values (16)	13939	14.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75589	79.2%
Uppercase Letter	13208	13.8%
Space Separator	6686	7.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	16564	21.9%
r	11817	15.6%
s	11166	14.8%
e	6123	8.1%
u	6078	8.0%
n	5663	7.5%
l	5511	7.3%
h	4754	6.3%
k	4628	6.1%
z	940	1.2%
Other values (7)	2345	3.1%

Uppercase Letter

Value	Count	Frequency (%)
A	7182	54.4%
T	4628	35.0%
P	562	4.3%
R	290	2.2%
W	266	2.0%
F	178	1.3%
S	95	0.7%
N	7	0.1%

Space Separator

Value	Count	Frequency (%)
	6686	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88797	93.0%
Common	6686	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	16564	18.7%
r	11817	13.3%
s	11166	12.6%
A	7182	8.1%
e	6123	6.9%
u	6078	6.8%
n	5663	6.4%
l	5511	6.2%
h	4754	5.4%
T	4628	5.2%
Other values (15)	9311	10.5%

Common

Value	Count	Frequency (%)
	6686	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95483	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	16564	17.3%
r	11817	12.4%
s	11166	11.7%
A	7182	7.5%
	6686	7.0%
e	6123	6.4%
u	6078	6.4%
n	5663	5.9%
l	5511	5.8%
h	4754	5.0%
Other values (16)	13939	14.6%

dpt
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

night	3134
afternoon	2954
morning	298
evening	136

Length

Max length	9
Median length	7
Mean length	6.9448022
Min length	5

Characters and Unicode

Total characters	45294
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	afternoon
2nd row	morning
3rd row	afternoon
4th row	morning
5th row	afternoon

Common Values

Value	Count	Frequency (%)
night	3134	48.1%
afternoon	2954	45.3%
morning	298	4.6%
evening	136	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
night	3134	48.1%
afternoon	2954	45.3%
morning	298	4.6%
evening	136	2.1%

Most occurring characters

Value	Count	Frequency (%)
n	9910	21.9%
o	6206	13.7%
t	6088	13.4%
i	3568	7.9%
g	3568	7.9%
r	3252	7.2%
e	3226	7.1%
h	3134	6.9%
a	2954	6.5%
f	2954	6.5%
Other values (2)	434	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45294	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	9910	21.9%
o	6206	13.7%
t	6088	13.4%
i	3568	7.9%
g	3568	7.9%
r	3252	7.2%
e	3226	7.1%
h	3134	6.9%
a	2954	6.5%
f	2954	6.5%
Other values (2)	434	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45294	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	9910	21.9%
o	6206	13.7%
t	6088	13.4%
i	3568	7.9%
g	3568	7.9%
r	3252	7.2%
e	3226	7.1%
h	3134	6.9%
a	2954	6.5%
f	2954	6.5%
Other values (2)	434	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45294	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	9910	21.9%
o	6206	13.7%
t	6088	13.4%
i	3568	7.9%
g	3568	7.9%
r	3252	7.2%
e	3226	7.1%
h	3134	6.9%
a	2954	6.5%
f	2954	6.5%
Other values (2)	434	1.0%

Block
Real number (ℝ)

Distinct	72
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.912297

Minimum	2
Maximum	492
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	2
5-th percentile	16
Q1	40
median	61
Q3	67
95-th percentile	193
Maximum	492
Range	490
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	53.318152
Coefficient of variation (CV)	0.73126419
Kurtosis	1.6960347
Mean	72.912297
Median Absolute Deviation (MAD)	16
Skewness	1.3551722
Sum	475534
Variance	2842.8253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	528	8.1%
65	464	7.1%
30	415	6.4%
16	394	6.0%
163	386	5.9%
62	352	5.4%
193	341	5.2%
112	310	4.8%
34	274	4.2%
61	251	3.8%
Other values (62)	2807	43.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
5	247	3.8%
10	1	< 0.1%
14	1	< 0.1%
16	394	6.0%
18	1	< 0.1%
20	204	3.1%
25	3	< 0.1%
27	12	0.2%
30	415	6.4%

Value	Count	Frequency (%)
492	1	< 0.1%
478	1	< 0.1%
330	5	0.1%
238	5	0.1%
237	1	< 0.1%
235	10	0.2%
226	1	< 0.1%
220	12	0.2%
209	1	< 0.1%
202	2	< 0.1%

Sold
Real number (ℝ)

Distinct	175
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.574364

Minimum	0
Maximum	479
Zeros	17
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	34
median	60
Q3	65
95-th percentile	188
Maximum	479
Range	479
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	51.718459
Coefficient of variation (CV)	0.74335512
Kurtosis	1.2295238
Mean	69.574364
Median Absolute Deviation (MAD)	20
Skewness	1.2975657
Sum	453764
Variance	2674.799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	455	7.0%
65	403	6.2%
16	345	5.3%
30	333	5.1%
163	328	5.0%
62	308	4.7%
193	283	4.3%
34	268	4.1%
112	265	4.1%
61	258	4.0%
Other values (165)	3276	50.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	0.3%
1	8	0.1%
2	5	0.1%
3	10	0.2%
4	13	0.2%
5	246	3.8%
6	6	0.1%
7	10	0.2%
8	8	0.1%
9	8	0.1%

Value	Count	Frequency (%)
479	1	< 0.1%
330	1	< 0.1%
326	1	< 0.1%
238	2	< 0.1%
236	1	< 0.1%
235	2	< 0.1%
231	1	< 0.1%
220	2	< 0.1%
219	1	< 0.1%
216	1	< 0.1%

Left
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	128
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3379331

Minimum	-2
Maximum	350
Zeros	5653
Zeros (%)	86.7%
Negative	3
Negative (%)	< 0.1%
Memory size	51.1 KiB

Quantile statistics

Minimum	-2
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	17
Maximum	350
Range	352
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.440788
Coefficient of variation (CV)	4.9254397
Kurtosis	94.832968
Mean	3.3379331
Median Absolute Deviation (MAD)	0
Skewness	8.2827588
Sum	21770
Variance	270.29952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5653	86.7%
1	145	2.2%
2	136	2.1%
3	59	0.9%
4	40	0.6%
16	16	0.2%
5	15	0.2%
10	15	0.2%
17	14	0.2%
8	13	0.2%
Other values (118)	416	6.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2	1	< 0.1%
-1	2	< 0.1%
0	5653	86.7%
1	145	2.2%
2	136	2.1%
3	59	0.9%
4	40	0.6%
5	15	0.2%
6	13	0.2%
7	12	0.2%

Value	Count	Frequency (%)
350	1	< 0.1%
287	1	< 0.1%
238	2	< 0.1%
222	1	< 0.1%
209	1	< 0.1%
173	1	< 0.1%
172	1	< 0.1%
166	1	< 0.1%
165	1	< 0.1%
159	1	< 0.1%

Occ.(%)
Real number (ℝ)

Distinct	102
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96.072984

Minimum	0
Maximum	103
Zeros	17
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	68
Q1	100
median	100
Q3	100
95-th percentile	100
Maximum	103
Range	103
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.068678
Coefficient of variation (CV)	0.15684616
Kurtosis	19.501395
Mean	96.072984
Median Absolute Deviation (MAD)	0
Skewness	-4.4166854
Sum	626588
Variance	227.06506
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	5654	86.7%
98	103	1.6%
97	82	1.3%
99	74	1.1%
96	25	0.4%
94	24	0.4%
95	23	0.4%
93	23	0.4%
90	20	0.3%
88	17	0.3%
Other values (92)	477	7.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	0.3%
2	3	< 0.1%
3	3	< 0.1%
4	2	< 0.1%
5	3	< 0.1%
6	3	< 0.1%
7	6	0.1%
9	4	0.1%
10	1	< 0.1%
11	5	0.1%

Value	Count	Frequency (%)
103	1	< 0.1%
102	1	< 0.1%
101	1	< 0.1%
100	5654	86.7%
99	74	1.1%
98	103	1.6%
97	82	1.3%
96	25	0.4%
95	23	0.4%
94	24	0.4%

dpt1
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

evening	3394
morning	2875
afternoon	235
night	18

Length

Max length	9
Median length	7
Mean length	7.066544
Min length	5

Characters and Unicode

Total characters	46088
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	morning
2nd row	night
3rd row	morning
4th row	night
5th row	morning

Common Values

Value	Count	Frequency (%)
evening	3394	52.0%
morning	2875	44.1%
afternoon	235	3.6%
night	18	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
evening	3394	52.0%
morning	2875	44.1%
afternoon	235	3.6%
night	18	0.3%

Most occurring characters

Value	Count	Frequency (%)
n	13026	28.3%
e	7023	15.2%
i	6287	13.6%
g	6287	13.6%
v	3394	7.4%
o	3345	7.3%
r	3110	6.7%
m	2875	6.2%
t	253	0.5%
a	235	0.5%
Other values (2)	253	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46088	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	13026	28.3%
e	7023	15.2%
i	6287	13.6%
g	6287	13.6%
v	3394	7.4%
o	3345	7.3%
r	3110	6.7%
m	2875	6.2%
t	253	0.5%
a	235	0.5%
Other values (2)	253	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46088	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	13026	28.3%
e	7023	15.2%
i	6287	13.6%
g	6287	13.6%
v	3394	7.4%
o	3345	7.3%
r	3110	6.7%
m	2875	6.2%
t	253	0.5%
a	235	0.5%
Other values (2)	253	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	13026	28.3%
e	7023	15.2%
i	6287	13.6%
g	6287	13.6%
v	3394	7.4%
o	3345	7.3%
r	3110	6.7%
m	2875	6.2%
t	253	0.5%
a	235	0.5%
Other values (2)	253	0.5%

Block1
Real number (ℝ)

Distinct	86
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.781202

Minimum	0
Maximum	492
Zeros	7
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	40
median	61
Q3	67
95-th percentile	193
Maximum	492
Range	492
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	53.493413
Coefficient of variation (CV)	0.73498942
Kurtosis	1.7367526
Mean	72.781202
Median Absolute Deviation (MAD)	16
Skewness	1.3484437
Sum	474679
Variance	2861.5453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	529	8.1%
65	461	7.1%
30	405	6.2%
163	386	5.9%
62	350	5.4%
193	342	5.2%
112	310	4.8%
16	298	4.6%
34	262	4.0%
61	252	3.9%
Other values (76)	2927	44.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.1%
1	2	< 0.1%
2	1	< 0.1%
3	7	0.1%
4	5	0.1%
5	234	3.6%
6	1	< 0.1%
8	1	< 0.1%
10	6	0.1%
11	5	0.1%

Value	Count	Frequency (%)
492	2	< 0.1%
330	5	0.1%
238	6	0.1%
235	11	0.2%
221	1	< 0.1%
220	11	0.2%
209	1	< 0.1%
202	2	< 0.1%
195	1	< 0.1%
193	342	5.2%

Sold1
Real number (ℝ)

Distinct	178
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.648114

Minimum	0
Maximum	494
Zeros	53
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	34
median	60
Q3	65
95-th percentile	193
Maximum	494
Range	494
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	53.093641
Coefficient of variation (CV)	0.76231269
Kurtosis	1.8039698
Mean	69.648114
Median Absolute Deviation (MAD)	20
Skewness	1.3577279
Sum	454245
Variance	2818.9347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	501	7.7%
65	432	6.6%
30	364	5.6%
163	324	5.0%
193	306	4.7%
62	299	4.6%
112	257	3.9%
34	247	3.8%
61	246	3.8%
54	236	3.6%
Other values (168)	3310	50.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	53	0.8%
1	14	0.2%
2	9	0.1%
3	23	0.4%
4	33	0.5%
5	210	3.2%
6	16	0.2%
7	10	0.2%
8	10	0.2%
9	9	0.1%

Value	Count	Frequency (%)
494	1	< 0.1%
472	1	< 0.1%
333	1	< 0.1%
330	3	< 0.1%
238	3	< 0.1%
237	1	< 0.1%
236	1	< 0.1%
235	6	0.1%
221	2	< 0.1%
220	6	0.1%

Left1
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	126
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.133088

Minimum	-6
Maximum	214
Zeros	5672
Zeros (%)	87.0%
Negative	41
Negative (%)	0.6%
Memory size	51.1 KiB

Quantile statistics

Minimum	-6
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	16.95
Maximum	214
Range	220
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.348792
Coefficient of variation (CV)	4.8989342
Kurtosis	59.873843
Mean	3.133088
Median Absolute Deviation (MAD)	0
Skewness	7.1749204
Sum	20434
Variance	235.58541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5672	87.0%
1	158	2.4%
2	83	1.3%
3	38	0.6%
4	30	0.5%
5	25	0.4%
-1	21	0.3%
8	20	0.3%
7	20	0.3%
6	18	0.3%
Other values (116)	437	6.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6	1	< 0.1%
-4	1	< 0.1%
-3	6	0.1%
-2	12	0.2%
-1	21	0.3%
0	5672	87.0%
1	158	2.4%
2	83	1.3%
3	38	0.6%
4	30	0.5%

Value	Count	Frequency (%)
214	1	< 0.1%
182	2	< 0.1%
171	2	< 0.1%
162	1	< 0.1%
160	2	< 0.1%
159	2	< 0.1%
157	2	< 0.1%
156	4	0.1%
152	1	< 0.1%
151	1	< 0.1%

Occ.(%)1
Real number (ℝ)

Distinct	102
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.537718

Minimum	0
Maximum	103
Zeros	53
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	64.05
Q1	100
median	100
Q3	100
95-th percentile	100
Maximum	103
Range	103
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.879991
Coefficient of variation (CV)	0.17668405
Kurtosis	18.383384
Mean	95.537718
Median Absolute Deviation (MAD)	0
Skewness	-4.3175362
Sum	623097
Variance	284.93409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	5669	86.9%
98	74	1.1%
0	53	0.8%
99	49	0.8%
97	40	0.6%
94	33	0.5%
101	31	0.5%
96	28	0.4%
80	25	0.4%
88	19	0.3%
Other values (92)	501	7.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	53	0.8%
1	3	< 0.1%
2	5	0.1%
3	5	0.1%
4	4	0.1%
5	5	0.1%
6	7	0.1%
7	4	0.1%
9	6	0.1%
10	10	0.2%

Value	Count	Frequency (%)
103	1	< 0.1%
102	6	0.1%
101	31	0.5%
100	5669	86.9%
99	49	0.8%
98	74	1.1%
97	40	0.6%
96	28	0.4%
95	17	0.3%
94	33	0.5%

Occ.
Real number (ℝ)

Distinct	416
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96.073789

Minimum	0
Maximum	102.94
Zeros	17
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	0
5-th percentile	67.6955
Q1	100
median	100
Q3	100
95-th percentile	100
Maximum	102.94
Range	102.94
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.074811
Coefficient of variation (CV)	0.15690868
Kurtosis	19.495636
Mean	96.073789
Median Absolute Deviation (MAD)	0
Skewness	-4.4162035
Sum	626593.25
Variance	227.24993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	5653	86.7%
96.67	30	0.5%
0	17	0.3%
98.39	16	0.2%
90	14	0.2%
98.44	13	0.2%
98.21	13	0.2%
87.5	11	0.2%
93.33	11	0.2%
98.57	10	0.2%
Other values (406)	734	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	0.3%
1.72	1	< 0.1%
1.79	1	< 0.1%
2.27	1	< 0.1%
3.33	2	< 0.1%
3.45	1	< 0.1%
3.57	2	< 0.1%
4.69	1	< 0.1%
5	1	< 0.1%
5.17	1	< 0.1%

Value	Count	Frequency (%)
102.94	1	< 0.1%
101.63	1	< 0.1%
100.54	1	< 0.1%
100	5653	86.7%
99.55	1	< 0.1%
99.48	1	< 0.1%
99.47	8	0.1%
99.46	7	0.1%
99.39	7	0.1%
99.29	6	0.1%

Netto
Real number (ℝ)

Distinct	618
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	416.17692

Minimum	150
Maximum	750
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	51.1 KiB

Quantile statistics

Minimum	150
5-th percentile	321.12
Q1	353.37
median	376.52
Q3	447.4225
95-th percentile	700
Maximum	750
Range	600
Interquartile range (IQR)	94.0525

Descriptive statistics

Standard deviation	105.67562
Coefficient of variation (CV)	0.25391995
Kurtosis	2.2600345
Mean	416.17692
Median Absolute Deviation (MAD)	30.13
Skewness	1.6207566
Sum	2714305.9
Variance	11167.337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
370	437	6.7%
353.24	308	4.7%
369.24	308	4.7%
377.18	293	4.5%
375	270	4.1%
356.36	252	3.9%
353.37	240	3.7%
400	216	3.3%
703.18	168	2.6%
398	142	2.2%
Other values (608)	3888	59.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
150	3	< 0.1%
161	1	< 0.1%
167	1	< 0.1%
170	1	< 0.1%
171	1	< 0.1%
172	1	< 0.1%
173	1	< 0.1%
174	1	< 0.1%
175	2	< 0.1%
176	6	0.1%

Value	Count	Frequency (%)
750	80	1.2%
703.18	168	2.6%
700	126	1.9%
693.38	22	0.3%
660.36	126	1.9%
657.37	120	1.8%
641	1	< 0.1%
625	1	< 0.1%
623.52	3	< 0.1%
605	1	< 0.1%

Netto Currency
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

EUR	3838
USD	2684

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	19566
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EUR
2nd row	EUR
3rd row	EUR
4th row	EUR
5th row	EUR

Common Values

Value	Count	Frequency (%)
EUR	3838	58.8%
USD	2684	41.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eur	3838	58.8%
usd	2684	41.2%

Most occurring characters

Value	Count	Frequency (%)
U	6522	33.3%
E	3838	19.6%
R	3838	19.6%
S	2684	13.7%
D	2684	13.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	19566	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	6522	33.3%
E	3838	19.6%
R	3838	19.6%
S	2684	13.7%
D	2684	13.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19566	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	6522	33.3%
E	3838	19.6%
R	3838	19.6%
S	2684	13.7%
D	2684	13.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19566	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	6522	33.3%
E	3838	19.6%
R	3838	19.6%
S	2684	13.7%
D	2684	13.7%

Profit
Real number (ℝ)

Distinct	6132
Distinct (%)	94.7%
Missing	47
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	329.89562

Minimum	-555.91
Maximum	2552.46
Zeros	0
Zeros (%)	0.0%
Negative	251
Negative (%)	3.8%
Memory size	51.1 KiB

Quantile statistics

Minimum	-555.91
5-th percentile	24.479
Q1	199.935
median	328.97
Q3	448.68
95-th percentile	623.751
Maximum	2552.46
Range	3108.37
Interquartile range (IQR)	248.745

Descriptive statistics

Standard deviation	194.91639
Coefficient of variation (CV)	0.59084261
Kurtosis	5.6228664
Mean	329.89562
Median Absolute Deviation (MAD)	123.76
Skewness	0.82434892
Sum	2136074.1
Variance	37992.397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
347.61	3	< 0.1%
222.86	3	< 0.1%
149.1	3	< 0.1%
407.7	3	< 0.1%
207.09	3	< 0.1%
341.48	3	< 0.1%
372.69	3	< 0.1%
383.44	3	< 0.1%
480.39	3	< 0.1%
468.14	3	< 0.1%
Other values (6122)	6445	98.8%
(Missing)	47	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-555.91	1	< 0.1%
-277.85	1	< 0.1%
-277.21	1	< 0.1%
-262.51	1	< 0.1%
-255.65	1	< 0.1%
-235.81	1	< 0.1%
-224.27	1	< 0.1%
-223.38	1	< 0.1%
-219.79	1	< 0.1%
-200.76	1	< 0.1%

Value	Count	Frequency (%)
2552.46	1	< 0.1%
1921.86	1	< 0.1%
1660.82	1	< 0.1%
1635.96	1	< 0.1%
1629.08	1	< 0.1%
1578.38	1	< 0.1%
1457.82	1	< 0.1%
1444.63	1	< 0.1%
1426.03	1	< 0.1%
1375.4	1	< 0.1%

prıce
Real number (ℝ)

Distinct	6344
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	743.69518

Minimum	-99.21
Maximum	3255.64
Zeros	0
Zeros (%)	0.0%
Negative	5
Negative (%)	0.1%
Memory size	51.1 KiB

Quantile statistics

Minimum	-99.21
5-th percentile	397.593
Q1	598.54
median	732.125
Q3	858.015
95-th percentile	1145.9615
Maximum	3255.64
Range	3354.85
Interquartile range (IQR)	259.475

Descriptive statistics

Standard deviation	236.54982
Coefficient of variation (CV)	0.31807362
Kurtosis	6.0579897
Mean	743.69518
Median Absolute Deviation (MAD)	129.8
Skewness	1.2376797
Sum	4850380
Variance	55955.817
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
500.12	6	0.1%
396.04	4	0.1%
749.1	4	0.1%
693.38	4	0.1%
827.22	3	< 0.1%
321.12	3	< 0.1%
606.97	3	< 0.1%
150	3	< 0.1%
703.41	2	< 0.1%
470	2	< 0.1%
Other values (6334)	6488	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-99.21	1	< 0.1%
-84.51	1	< 0.1%
-76.65	1	< 0.1%
-41.79	1	< 0.1%
-20.76	1	< 0.1%
79.11	1	< 0.1%
79.25	1	< 0.1%
94.22	1	< 0.1%
94.98	1	< 0.1%
95.06	1	< 0.1%

Value	Count	Frequency (%)
3255.64	1	< 0.1%
2625.04	1	< 0.1%
2339.14	1	< 0.1%
2332.26	1	< 0.1%
2281.56	1	< 0.1%
2161	1	< 0.1%
2147.81	1	< 0.1%
2129.21	1	< 0.1%
2050.97	1	< 0.1%
2035.76	1	< 0.1%

day_convert
Categorical

Distinct	304
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	51.1 KiB

2022-09-30	38
2022-09-15	38
2022-09-22	38
2022-10-07	38
2022-10-06	38
Other values (299)	6332

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	65220
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	0.5%

Sample

1st row	2022-06-07
2nd row	2022-06-11
3rd row	2022-06-14
4th row	2022-06-18
5th row	2022-06-21

Common Values

Value	Count	Frequency (%)
2022-09-30	38	0.6%
2022-09-15	38	0.6%
2022-09-22	38	0.6%
2022-10-07	38	0.6%
2022-10-06	38	0.6%
2022-10-13	38	0.6%
2022-09-19	38	0.6%
2022-09-18	38	0.6%
2022-09-25	38	0.6%
2022-09-26	38	0.6%
Other values (294)	6142	94.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2022-09-30	38	0.6%
2022-09-19	38	0.6%
2022-09-29	38	0.6%
2022-09-26	38	0.6%
2022-09-25	38	0.6%
2022-09-18	38	0.6%
2022-09-15	38	0.6%
2022-10-13	38	0.6%
2022-10-06	38	0.6%
2022-10-07	38	0.6%
Other values (294)	6142	94.2%

Most occurring characters

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
-	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	52176	80.0%
Dash Punctuation	13044	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	22495	43.1%
0	15183	29.1%
1	4699	9.0%
9	1754	3.4%
8	1747	3.3%
7	1725	3.3%
6	1588	3.0%
5	1273	2.4%
3	991	1.9%
4	721	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	13044	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	65220	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
-	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	22495	34.5%
0	15183	23.3%
-	13044	20.0%
1	4699	7.2%
9	1754	2.7%
8	1747	2.7%
7	1725	2.6%
6	1588	2.4%
5	1273	2.0%
3	991	1.5%

Auto

Heatmap
Table

	Days	Block	Sold	Left	Occ.(%)	Block1	Sold1	Left1	Occ.(%)1	Occ.	Netto	Profit	prıce	Origin	day_name	flight_month	season	Flight Code	Airline Company	dpt	dpt1	Netto Currency
Days	1.000	0.014	0.023	-0.034	0.035	0.011	0.017	-0.045	0.046	0.035	0.041	0.035	0.045	0.125	1.000	0.039	0.009	0.245	0.056	0.077	0.083	0.018
Block	0.014	1.000	0.948	0.097	-0.082	0.992	0.939	-0.029	0.046	-0.083	-0.262	-0.078	-0.218	0.326	0.020	0.296	0.209	0.752	0.442	0.248	0.197	0.343
Sold	0.023	0.948	1.000	-0.115	0.129	0.941	0.886	-0.005	0.023	0.129	-0.269	-0.006	-0.137	0.301	0.009	0.150	0.108	0.713	0.361	0.192	0.133	0.332
Left	-0.034	0.097	-0.115	1.000	-0.999	0.094	0.101	-0.052	0.050	-0.999	0.029	-0.288	-0.276	0.061	0.008	0.222	0.160	0.299	0.141	0.067	0.074	0.071
Occ.(%)	0.035	-0.082	0.129	-0.999	1.000	-0.080	-0.087	0.050	-0.050	0.999	-0.033	0.286	0.272	0.078	0.016	0.230	0.186	0.187	0.062	0.058	0.065	0.102
Block1	0.011	0.992	0.941	0.094	-0.080	1.000	0.945	-0.022	0.040	-0.080	-0.262	-0.078	-0.218	0.315	0.020	0.294	0.208	0.752	0.433	0.243	0.200	0.352
Sold1	0.017	0.939	0.886	0.101	-0.087	0.945	1.000	-0.232	0.248	-0.088	-0.254	-0.008	-0.149	0.298	0.021	0.297	0.221	0.708	0.410	0.236	0.184	0.360
Left1	-0.045	-0.029	-0.005	-0.052	0.050	-0.022	-0.232	1.000	-0.991	0.052	0.038	-0.251	-0.205	0.034	0.000	0.166	0.236	0.178	0.061	0.068	0.058	0.232
Occ.(%)1	0.046	0.046	0.023	0.050	-0.050	0.040	0.248	-0.991	1.000	-0.050	-0.041	0.253	0.203	0.013	0.017	0.193	0.305	0.092	0.023	0.052	0.030	0.281
Occ.	0.035	-0.083	0.129	-0.999	0.999	-0.080	-0.088	0.052	-0.050	1.000	-0.033	0.287	0.272	0.078	0.013	0.230	0.186	0.188	0.062	0.057	0.064	0.101
Netto	0.041	-0.262	-0.269	0.029	-0.033	-0.262	-0.254	0.038	-0.041	-0.033	1.000	0.006	0.362	0.516	0.062	0.337	0.305	0.733	0.475	0.377	0.300	0.476
Profit	0.035	-0.078	-0.006	-0.288	0.286	-0.078	-0.008	-0.251	0.253	0.287	0.006	1.000	0.891	0.104	0.026	0.300	0.334	0.236	0.138	0.093	0.096	0.429
prıce	0.045	-0.218	-0.137	-0.276	0.272	-0.218	-0.149	-0.205	0.203	0.272	0.362	0.891	1.000	0.166	0.026	0.355	0.390	0.346	0.294	0.145	0.164	0.271
Origin	0.125	0.326	0.301	0.061	0.078	0.315	0.298	0.034	0.013	0.078	0.516	0.104	0.166	1.000	0.125	0.075	0.100	0.995	0.439	0.588	0.419	0.385
day_name	1.000	0.020	0.009	0.008	0.016	0.020	0.021	0.000	0.017	0.013	0.062	0.026	0.026	0.125	1.000	0.039	0.009	0.245	0.056	0.077	0.083	0.018
flight_month	0.039	0.296	0.150	0.222	0.230	0.294	0.297	0.166	0.193	0.230	0.337	0.300	0.355	0.075	0.039	1.000	0.999	0.408	0.354	0.193	0.209	0.641
season	0.009	0.209	0.108	0.160	0.186	0.208	0.221	0.236	0.305	0.186	0.305	0.334	0.390	0.100	0.009	0.999	1.000	0.458	0.281	0.098	0.097	0.440
Flight Code	0.245	0.752	0.713	0.299	0.187	0.752	0.708	0.178	0.092	0.188	0.733	0.236	0.346	0.995	0.245	0.408	0.458	1.000	0.994	0.915	0.910	0.697
Airline Company	0.056	0.442	0.361	0.141	0.062	0.433	0.410	0.061	0.023	0.062	0.475	0.138	0.294	0.439	0.056	0.354	0.281	0.994	1.000	0.359	0.350	0.458
dpt	0.077	0.248	0.192	0.067	0.058	0.243	0.236	0.068	0.052	0.057	0.377	0.093	0.145	0.588	0.077	0.193	0.098	0.915	0.359	1.000	0.461	0.157
dpt1	0.083	0.197	0.133	0.074	0.065	0.200	0.184	0.058	0.030	0.064	0.300	0.096	0.164	0.419	0.083	0.209	0.097	0.910	0.350	0.461	1.000	0.050
Netto Currency	0.018	0.343	0.332	0.071	0.102	0.352	0.360	0.232	0.281	0.101	0.476	0.429	0.271	0.385	0.018	0.641	0.440	0.697	0.458	0.157	0.050	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Destination	Origin	To Area	Flight Date	day_name	flight_month	season	year	Flight Code	Days	Airline Company	dpt	Block	Sold	Left	Occ.(%)	dpt1	Block1	Sold1	Left1	Occ.(%)1	Occ.	Netto	Netto Currency	Profit	prıce	day_convert
0	Turkey	Samara	Antalya	07.06.2022	Tuesday	June	Summer	2022	WZ 4019	2	Red Wings Airlines	afternoon	50	50	0	100	morning	50	1	49	2	100.00	518.00	EUR	220.49	738.49	2022-06-07
1	Turkey	Samara	Antalya	11.06.2022	Saturday	June	Summer	2022	WZ 4019	6	Red Wings Airlines	morning	50	50	0	100	night	50	32	18	64	100.00	534.00	EUR	283.83	817.83	2022-06-11
2	Turkey	Samara	Antalya	14.06.2022	Tuesday	June	Summer	2022	WZ 4019	2	Red Wings Airlines	afternoon	50	50	0	100	morning	50	44	6	88	100.00	546.00	EUR	278.68	824.68	2022-06-14
3	Turkey	Samara	Antalya	18.06.2022	Saturday	June	Summer	2022	WZ 4019	6	Red Wings Airlines	morning	50	50	0	100	night	50	50	0	100	100.00	595.00	EUR	211.23	806.23	2022-06-18
4	Turkey	Samara	Antalya	21.06.2022	Tuesday	June	Summer	2022	WZ 4019	2	Red Wings Airlines	afternoon	50	50	0	100	morning	50	48	2	96	100.00	596.00	EUR	278.98	874.98	2022-06-21
5	Turkey	Samara	Antalya	22.06.2022	Wednesday	June	Summer	2022	ZF 6391	3	Azur Air	night	30	30	0	100	evening	30	3	27	10	100.00	463.73	EUR	147.08	610.81	2022-06-22
6	Turkey	Samara	Antalya	24.06.2022	Friday	June	Summer	2022	ZF 6391	5	Azur Air	night	30	30	0	100	evening	30	0	30	0	100.00	463.73	EUR	188.16	651.89	2022-06-24
7	Turkey	Samara	Antalya	25.06.2022	Saturday	June	Summer	2022	ZF 6391	6	Azur Air	night	30	30	0	100	evening	30	19	11	63	100.00	463.73	EUR	163.93	627.66	2022-06-25
8	Turkey	Samara	Antalya	25.06.2022	Saturday	June	Summer	2022	WZ 4019	6	Red Wings Airlines	afternoon	50	50	0	100	morning	50	43	7	86	100.00	605.00	EUR	239.87	844.87	2022-06-25
9	Turkey	Samara	Antalya	27.06.2022	Monday	June	Summer	2022	ZF 6391	1	Azur Air	night	30	29	1	97	evening	30	11	19	37	96.67	463.73	EUR	319.13	782.86	2022-06-27

	Destination	Origin	To Area	Flight Date	day_name	flight_month	season	year	Flight Code	Days	Airline Company	dpt	Block	Sold	Occ.(%)	dpt1	Block1	Sold1	Occ.(%)1	Occ.	Netto	Netto Currency	Profit	prıce	day_convert
6512	Turkey	S.Petersburg	Antalya	15.07.2022	Friday	July	Summer	2022	TK 3673	5	Turkish Airlines	night	65	65	100	morning	65	65	100	100.0	377.18	EUR	419.47	796.65	2022-07-15
6513	Turkey	S.Petersburg	Antalya	15.07.2022	Friday	July	Summer	2022	TK 3716	5	Turkish Airlines	afternoon	64	64	100	evening	64	64	100	100.0	377.18	EUR	553.40	930.58	2022-07-15
6514	Turkey	S.Petersburg	Antalya	15.07.2022	Friday	July	Summer	2022	TK 3961	5	Turkish Airlines	afternoon	46	46	100	morning	46	46	100	100.0	343.18	EUR	487.99	831.17	2022-07-15
6515	Turkey	S.Petersburg	Antalya	16.07.2022	Saturday	July	Summer	2022	TK 3657	6	Turkish Airlines	afternoon	54	54	100	evening	54	54	100	100.0	377.18	EUR	480.39	857.57	2022-07-16
6516	Turkey	S.Petersburg	Antalya	16.07.2022	Saturday	July	Summer	2022	TK 3657	6	Turkish Airlines	afternoon	5	5	100	evening	5	5	100	100.0	703.18	EUR	697.93	1401.11	2022-07-16
6517	Turkey	S.Petersburg	Antalya	16.07.2022	Saturday	July	Summer	2022	TK 3673	6	Turkish Airlines	night	65	65	100	morning	65	65	100	100.0	377.18	EUR	420.95	798.13	2022-07-16
6518	Turkey	S.Petersburg	Antalya	16.07.2022	Saturday	July	Summer	2022	TK 3961	6	Turkish Airlines	afternoon	46	46	100	morning	46	46	100	100.0	343.18	EUR	398.44	741.62	2022-07-16
6519	Turkey	S.Petersburg	Antalya	17.07.2022	Sunday	July	Summer	2022	TK 1234	7	Turkish Airlines	afternoon	34	34	100	morning	34	34	100	100.0	370.00	USD	512.82	882.82	2022-07-17
6520	Turkey	S.Petersburg	Antalya	17.07.2022	Sunday	July	Summer	2022	TK 3657	7	Turkish Airlines	afternoon	54	54	100	evening	54	54	100	100.0	377.18	EUR	467.51	844.69	2022-07-17
6521	Turkey	S.Petersburg	Antalya	17.07.2022	Sunday	July	Summer	2022	TK 3657	7	Turkish Airlines	afternoon	5	5	100	evening	5	5	100	100.0	703.18	EUR	361.37	1064.55	2022-07-17

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter